Your catalog is leaking revenue. We'll tell you exactly how much.
A four-week diagnostic built from observed marketplace transactions, live competitor prices, and live AI answers — not benchmarks. The output: a number your CFO can defend.
$5,000 fixed · 4 weeks · Under 2 hours of your time · One product feed is all we need
Four ways catalogs leak — measured, not guessed
Catalog–market fit
Your listings miss the attributes buyers filter on. They buy elsewhere.
Marketplace presence
Your category sells on marketplaces you're not on. The demand flows to someone else.
Pricing efficiency
Competitors reprice daily. You give away margin and volume — often in the same week.
AI discoverability
AI answers cite a handful of sellers. You're in them, or you're invisible.
Your analytics can't show any of this. They measure the demand you capture — never the sale that happened without you.
Bad product data costs up to 23% of clicks — McKinsey
What one finding looks like
Casio G-SHOCK Mudman GW-9500
- Transactions
- 215
- Avg. selling price
- €1,081
- Competing offers
- only 15
- Your offers
- 0
€232,415 through one SKU you don't carry.

Found by reading the market — not the client's data. The blueprint runs this same bridge across your whole category, on all four axes.
Want your category checked before you commit? Mention it when you book — we'll bring live data to the call.
Four weeks. Three calls. One feed. $5,000 — fixed.
You get
- a 25–40 page report with confidence-rated numbers
- the SKU-level evidence workbook behind every finding
- a GEO before/after sample
- a 60-minute stakeholder readout
- and your data in a queryable workspace for 90 days
We need
- one product feed — Excel, CSV, or XML
- No integration, no IT project, under two hours of your team's time
Scope
- one country
- one category
- up to 3 marketplaces
- 2–3 named competitors
- up to 5,000 SKUs
The report concludes not with "buy our software" — but with what the opportunity is worth. Yours to keep, no obligation. The expensive part is already built; you're pointing existing infrastructure at your category.
Pick a start date
45-minute kick-off — we'll walk you through the full methodology, show live data from your category, and confirm scope. Decide after.
The only expensive option is not knowing.
Prefer to talk first? Book a demo